Prediction of progression after radical nephrectomy for patients with clear cell renal cell carcinoma - A stratification tool for prospective clinical trials

被引:599
|
作者
Leibovich, BC
Blute, ML
Cheville, JC
Lohse, CM
Frank, I
Kwon, ED
Weaver, AL
Parker, AS
Zincke, H
机构
[1] Mayo Clin, Dept Urol, Rochester, MN 55905 USA
[2] Mayo Clin & Mayo Fdn, Mayo Med Sch, Dept Immunol, Rochester, MN 55905 USA
[3] Mayo Clin & Mayo Fdn, Mayo Med Sch, Dept Hlth Sci Res, Rochester, MN 55905 USA
[4] Mayo Clin & Mayo Fdn, Mayo Med Sch, Dept Pathol, Rochester, MN 55905 USA
[5] Mayo Clin & Mayo Fdn, Mayo Med Sch, Dept Urol, Rochester, MN 55905 USA
关键词
kidney; neoplasms; renal cell carcinoma; metastasis; survival;
D O I
10.1002/cncr.11234
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BACKGROUND. The objective of the current study was to develop an algorithm to predict progression to metastases after radical nephrectomy for patients with clinically localized renal cell carcinoma (RCC) to allow stratification of patients for potential adjuvant therapy trials. METHODS. The authors identified 1671 sporadic patients with clinically localized, unilateral clear cell RCC who underwent radical nephrectomy between 1970 and 2000. The clinical features examined included age, gender, smoking history, recent onset hypertension, performance status, and presenting symptoms. The pathologic features examined included surgical margins, tumor stage, regional lymph node status, tumor size, nuclear grade, histologic tumor necrosis, sarcomatoid component, cystic architecture, and multifocality. Metastases free survival was estimated using the Kaplan-Meier method. A multivariate Cox proportional hazards regression model was fit to determine associations between the clinical and pathologic features and distant metastases. RESULTS. The median follow-up was 5.4 years (range, 0-31 years). Metastases occurred in 479 patients at a median of 1.3 years (range, 0-25 years) after nephrectomy. The estimated metastases free survival rates were 86.9% at 1 year, 77.8% at 3 years, 74.1% at 5 years, 70.8% at 7 years, and 67.1% at 10 years. Multivariate analysis showed that the following features were associated with progression to metastases: tumor stage, regional lymph node status, tumor size, nuclear grade, and histologic tumor necrosis (P < 0.001 for all). CONCLUSIONS. in patients with clear cell RCC, tumor stage, regional lymph node status, tumor size, nuclear grade, and histologic tumor necrosis showed statistically significant associations with progression to metastatic RCC. The authors present a scoring algorithm based on these features that can be used to predict disease progression after patients undergo radical nephrectomy for clinically localized clear cell RCC. Cancer 2003;97:1663-71. (C) 2003 American Cancer Society.
引用
收藏
页码:1663 / 1671
页数:9
相关论文
共 50 条
  • [1] A scoring algorithm to predict survival for patients with metastatic clear cell renal cell carcinoma: A stratification tool for prospective clinical trials
    Leibovich, BC
    Cheville, JC
    Lohse, CM
    Zincke, H
    Frank, I
    Kwon, ED
    Merchan, JR
    Blute, ML
    [J]. JOURNAL OF UROLOGY, 2005, 174 (05): : 1759 - 1763
  • [2] Scoring algorithm to predict survival after nephrectomy and immunotherapy in patients with metastatic renal cell carcinoma - A stratification tool for prospective clinical trials
    Leibovich, BC
    Han, KR
    Bui, MHT
    Pantuck, AJ
    Dorey, FJ
    Figlin, RA
    Belldegrun, A
    [J]. CANCER, 2003, 98 (12) : 2566 - 2575
  • [3] A scoring algorithm to predict survival for patients with metastatic clear cell renal cell carcinoma: A stratification tool for prospective clinical trials - Comment
    Marshall, FF
    [J]. JOURNAL OF UROLOGY, 2005, 174 (05): : 1763 - 1763
  • [4] Dynamic outcome prediction in patients with clear cell renal cell carcinoma treated with radical nephrectomy
    Frank, I
    Leibovich, BC
    Lohse, CM
    Cheville, JC
    Zincke, H
    Blute, ML
    [J]. JOURNAL OF UROLOGY, 2006, 175 (04): : 28 - 28
  • [5] Identification of patients at high risk of renal cell carcinoma progression after radical nephrectomy
    Rioux-Lehercq, N
    Moulinoux, JP
    Bansard, JY
    Lobel, B
    Guille, F
    Rodriguez, AR
    Patard, JJ
    [J]. JOURNAL OF UROLOGY, 2003, 169 (04): : 197 - 197
  • [6] CHANGES IN PATTERN OF RECURRENCE OVER TIME AFTER RADICAL NEPHRECTOMY IN PATIENTS WITH LOCALIZED CLEAR CELL RENAL CELL CARCINOMA
    Tanabe, Kenji
    Saito, Kazutaka
    Nakagomi, Kazuaki
    Arisawa, Chizuru
    Tsukamoto, Tetsuro
    Okuno, Tetsuo
    Nagahama, Katsushi
    Noro, Akira
    Morimoto, Shinji
    Kitahara, Satoshi
    Kihara, Kazunori
    Fujii, Yasuhisa
    [J]. JOURNAL OF UROLOGY, 2018, 199 (04): : E458 - E458
  • [7] Contemporary external validation of the Leibovich model for prediction of progression after radical surgery for clear cell renal cell carcinoma
    Beisland, Christian
    Gudbrandsdottir, Gigja
    Reisaeter, Lars A. R.
    Bostad, Leif
    Wentzel-Larsen, Tore
    Hjelle, Karin M.
    [J]. SCANDINAVIAN JOURNAL OF UROLOGY, 2015, 49 (03) : 205 - 210
  • [8] Dynamic outcome prediction in patients with clear cell renal cell carcinoma treated with radical nephrectomy: The D-SSIGN score
    Houston Thompson, R.
    Leibovich, Bradley C.
    Lohse, Christine M.
    Cheville, John C.
    Zincke, Horst
    Blute, Michael L.
    Frank, Igor
    [J]. JOURNAL OF UROLOGY, 2007, 177 (02): : 477 - 480
  • [9] ASO Author Reflections: Clinical Stage I Clear Cell Renal Cell Carcinoma Patients with Gross Hematuria: Radical Nephrectomy or Partial Nephrectomy?
    Xing, Zhuo
    Li, Yuan
    [J]. ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (5) : 3556 - 3557
  • [10] ASO Author Reflections: Clinical Stage I Clear Cell Renal Cell Carcinoma Patients with Gross Hematuria: Radical Nephrectomy or Partial Nephrectomy?
    Zhuo Xing
    Yuan Li
    [J]. Annals of Surgical Oncology, 2024, 31 : 3556 - 3557